多阶段优化策略与序贯多重分配随机试验:开发最优培训项目的两种新颖评估方法

The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): two novel evaluation methods for developing optimal training programs

JOURNAL OF ORGANIZATIONAL BEHAVIOR · 2016
被引 28
人大 AABS 4

中文导读

提出多阶段优化策略和序贯多重分配随机试验两种方法,分别用于评估标准培训和自适应培训,以解决传统培训评估中忽视单个要素和缺乏个性化的问题。

Abstract

Summary Current methodologies in training evaluation studies largely employ a single method entitled random confirmatory trials, prompting several concerns. First, practitioners and researchers often analyze the effectiveness of their entire omnibus training, rather than the individual elements or identifiable components of the training program. This slows the testing of theory and development of optimal training programs. Second, a common training is typically administered to all employees within an organization or workgroup; however, certain factors may cause individualized training to be more effective. Given these concerns, the current paper presents two training evaluation methodologies to overcome these problems: the multiphase optimization strategy and sequential multiple assignment randomized trials. The multiphase optimization strategy is a method to evaluate a standard training, which emphasizes the importance of a multi‐stage training evaluation process to analyze individual training elements. In contrast, sequential multiple assignment randomized trial is used to evaluate an adaptive training that varies over time and/or trainees. These methodologies jointly overcome the problems noted earlier, and they can be integrated to address several of the key challenges facing training researchers and practitioners. Copyright © 2016 John Wiley & Sons, Ltd.

培训评估实验设计组织行为学人力资源管理